Cascaded diffractive optical element for high-fidelity optical information encryption

Cascaded diffractive optical element (DOE), consisting of multiple DOE layers, is a type of multi-layer architecture that introduces additional design freedom, e.g. rotation angle, wavelength or polarization state, enabling more flexible and precise modulation of light field compared to a single-layer DOE. This enhanced modulation capability endows it with significant potential for applications in the field of information encryption. For this application, the fidelity of image reconstruction is critically important to the performance of the cascaded DOE. In this work, we propose a new cascaded DOE design framework with the integration of an optimized Harvey’s model, enabling larger modulation bandwidth compared to conventional angular spectrum method (ASM), thereby increasing the information capacity of cascaded DOE, as well as the accuracy of reconstructed images. To validate the proposed method, we design a cascaded DOE for four distinct images encryption. The correlation coefficient of decrypted images is improved by 37% compared to the result that used ASM-based design method. Future work includes fabricating the designed DOE using a two-photon polymerization (2PP) technique and verifying its performance experimentally.

Authors

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2025-09-22
DOI
https://doi.org/10.1051/epjconf/202533502005/pdf
Primary Topic
Chaos-based Image/Signal Encryption
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Cascaded diffractive optical element for high-fidelity optical information encryption

Bernhard Roth, Reinhard Caspary, Yanqiu Li, Lei (Nico) Zheng
Springer Link (Chiba Institute of Technology)
Chaos-based Image/Signal Encryption
article

Cascaded diffractive optical element for high-fidelity optical information encryption

Bernhard Roth, Reinhard Caspary, Yanqiu Li, Lei (Nico) Zheng
article en

Abstract

Cascaded diffractive optical element (DOE), consisting of multiple DOE layers, is a type of multi-layer architecture that introduces additional design freedom, e.g. rotation angle, wavelength or polarization state, enabling more flexible and precise modulation of light field compared to a single-layer DOE. This enhanced modulation capability endows it with significant potential for applications in the field of information encryption. For this application, the fidelity of image reconstruction is critically important to the performance of the cascaded DOE. In this work, we propose a new cascaded DOE design framework with the integration of an optimized Harvey’s model, enabling larger modulation bandwidth compared to conventional angular spectrum method (ASM), thereby increasing the information capacity of cascaded DOE, as well as the accuracy of reconstructed images. To validate the proposed method, we design a cascaded DOE for four distinct images encryption. The correlation coefficient of decrypted images is improved by 37% compared to the result that used ASM-based design method. Future work includes fabricating the designed DOE using a two-photon polymerization (2PP) technique and verifying its performance experimentally.

Springer Link (Chiba Institute of Technology)
Openalex Percentile: Top 29%
Chaos-based Image/Signal Encryption
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Cascaded diffractive optical element for high-fidelity optical information encryption — Bernhard Roth, Reinhard Caspary, et al. · Springer Link (Chiba Institute of Technology) (2025) | TGRS Research Map | TGRS